{"id":"W6960674660","doi":"10.1371/journal.pone.0131463.g001","title":"Socioeconomic categories in census block areas in Paris.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Psidium guajava Extracts and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Block (permutation group theory); Population; Quarter (Canadian coin); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551418,0.0005809496,0.0001782569,0.002768841,0.0003736693,0.0004203359,0.0004141063,0.0002262149,0.01852505],"category_scores_gemma":[0.0005210884,0.0001518483,0.000322748,0.003677866,0.0001354557,0.0003027297,0.000467531,0.0002710613,0.003858577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009614698,"about_ca_system_score_gemma":0.0008202951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2350198,"about_ca_topic_score_gemma":0.2756405,"domain_scores_codex":[0.9998178,0.00002938407,0.00001802121,0.00002997391,0.00004949239,0.00005540622],"domain_scores_gemma":[0.9997628,0.00001967159,0.00008717864,0.00001197008,0.00006962968,0.00004883563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000366056,0.0002582715,0.5797458,0.000758579,0.0002972483,0.0008321133,0.001627778,0.001409942,0.0005786818,0.004451328,0.3418487,0.06782557],"study_design_scores_gemma":[0.00002093903,0.00004480908,0.9269751,0.000101183,0.00001958512,0.0001558278,0.001432371,0.0002823599,0.00008717155,0.000165256,0.07070085,0.00001463443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.4012785,0.00293805,0.0005634514,0.0005382186,0.0001695944,0.0002977959,0.5039354,0.0003070266,0.0899719],"genre_scores_gemma":[0.7037148,0.004302931,0.001137361,0.0003081051,0.00009530663,0.0006654068,0.2032911,0.00005982639,0.08642508],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2350198,"threshold_uncertainty_score":0.4673036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1549652784027369,"score_gpt":0.4273206264306012,"score_spread":0.2723553480278643,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}